20 publicaciones de empleo destacadas de cloud devops engineer en ciudad de méxico, dif (¡Están contratando!)

IT Applied AI Engineer
l'Oréal —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Maestría
Postulación rápida
1d
Lead Site Reliability Engineer - Database Management
SimCorp A/S —Ciudad de México, CDMX
- Incluye fines de semana
- Azure
- Oracle
- Informática
- Seguro dental
Sr. Principal Engineer, SRE
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
- Permiso de maternidad y paternidad
- Seguro de vida
Data Engineer
Orion Innovation —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- DevOps
- Ingeniería
Postulación rápida
1d
Senior Software Engineer
Helix —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
Senior Software Engineer, Back-End (Java & Spring Boot)
PlanOmatic HQ —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Java
Postulación rápida
AWS Cloud Solutions Architect - Mexico
Mobiz —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Contratos
Postulación rápida
AWS Platform engineer ( SLalom COX )
Inetum Mexico —Ciudad de México, CDMX
- $65,000 a $75,000 por mes
- Tiempo completo
- Azure
- Administración de personal
- DevOps
Postulación rápida
Sr Advanced Cloud Developer
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Senior Back-End Engineer
LotusFlare —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Sr. Principal Engineer, SRE
iCims —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
- Permiso de maternidad y paternidad
- Seguro de vida
Development Products Engineer Manager
MetLife —Ciudad de México, CDMX
- Tiempo completo
- Español
- Azure
- DevOps
- Seguro de vida
Developer Salesforce
GFT Technologies SE —San Miguel Chapultepec I Sección, CDMX
- DevOps
- Habilidades de comunicación
- Negociación
- Programa de bienestar
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Kubernetes DevOps Specialist
Arcadion —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Postulación rápida
Infrastructure Specialist
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Desarrollo de software
Backend Engineer con enfoque en DevOps / Platform Engineering
Acute Talent —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Java
- JavaScript
Postulación rápida
Consultor de Ingeniero de Datos Remoto
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- Oracle
Postulación rápida
Senior Platform Engineer
Kiwi Financial Inc —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- Linux
5d
Senior Security Platform Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Linux
2d

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IT Applied AI Engineer

l'Oréal -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 1 día

Cualificaciones

Modelos de inteligencia artificial
Informática
DevOps
Google Cloud Platform
Maestría
SQL
Licenciatura
Ciberseguridad
Python

Descripción completa del empleo

A Day in the Life

As an AI Engineer / Data Scientist in our AI & Tech Accelerator, you will pioneer the future of beauty by engineering and deploying scalable solutions using advanced Machine Learning and Generative AI. Reporting into the AI & Tech Accelerator team, you will analyze and solve complex challenges for the L’Oréal Americas market, turning data-driven models into business value and innovation.

Develop & Deploy Advanced AI Solutions: You will design and implement state-of-the-art models using Machine Learning and Large Language Models (LLMs), and explore Agentic AI patterns to create autonomous workflows.
Innovate with Generative AI: You’ll lead initiatives for novel applications of Generative AI, ensuring we stay ahead of the technology curve.
Drive Cross-Business Impact: Your work will create scalable AI solutions for a diverse range of use cases across L’Oréal brands and business units, from marketing to supply chain.
Collaborate & Co-Create: You will partner with cross-functional agile teams including Data Engineers, UX/UI Designers, and DevOps Engineers to integrate AI models into production-ready products.

We Are Looking For

We are seeking a curious, collaborative innovator who thrives in a dynamic environment and is ready to make a tangible business impact. The ideal candidate has:

A Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
Proven experience coding and deploying AI/ML models.
Advanced proficiency in Python, SQL, and a strong foundation in Machine Learning and Deep Learning.
Familiarity with Generative AI, agentic workflows, and cloud environments (preferably GCP).
The drive to learn quickly and explain complex technical concepts to diverse stakeholders.

What’s In It For You

A place for you to leave your comfort zone and grow beyond your potential (here, you’ll be encouraged to try new things and take risks!)
Real responsibility from day 1, there’s no sitting on the sidelines at L’Oréal
An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and are celebrated!
A place where you can contribute to something bigger! Many of our brands have societal/environmental causes to make concrete difference.

Who We Are

Join us at L’Oréal, the world's #1 beauty company present in over 150 markets. For over a century, we have been transforming; fueled by data, tech, innovation, and science. Together, we tackle big challenges while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.

Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future. To achieve this ambition, L’Oréal continues to recruit diverse, innovative, skilled, and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications, and Infrastructure.

We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.
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Postulación rápida

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cloud devops engineer empleos en ciudad de méxico, dif

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